Job Information
American Express Senior Manager-Data Science in New York, New York
Description
You Lead the Way. We’ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let’s lead the way together.
How we serve our customers is constantly evolving and is a challenge we gladly accept. Whether you’re finding new ways to prevent identity fraud or enabling customers to start a new business, you can work with one of the most valuable data sets in the world to identify insights and actions that can have a meaningful impact on our customers and our business. And, with opportunities to learn from leaders who have defined the course of our industry, you can grow your career and define your own path. Find your place in risk and analytics on #TeamAmex.
We are seeking a candidate with specialties in Machine Learning and Data Science to join the Global Decision Science group at American Express. The incumbent will apply advanced analytics and machine learning techniques to develop models to support personal loan underwriting decision making as well as other emerging business opportunities in the company. He/she will interact with cross-functional teams spanning Risk, Marketing and Technology, and be responsible for the end-to-end model development and implementation.
This role will report to Director of Data Science with main responsibilities including:
Design, develop and implement models for emerging opportunities with Machine Learning techniques.
Communicate model algorithms and results to senior leaders and business partners.
R&D on new Machine Learning techniques and their applications in risk management.
Qualifications:
Advanced degree in quantitative field related to machine learning, such as Mathematics, Statistics, Machine Learning, Pattern Recognition, or Operation Research, is required.
Hands-on experience in machine learning algorithm development or application.
Experience in large data processing and handling.
Familiar with big data platform and its applications, such as Hadoop, Pig, Hive, and Spark.
Master at least one popular programming language (e.g., Python/R, Java, Scala, C ).
Familiarity with credit card and/or installment loan industry is a plus.
Strong communication skills, able to explain complex algorithm and results to business partners in simple terms.
Ability to work in a dynamic, cross-functional environment, with a strong attention to detail.
Ability to work independently yet being a team player.
Qualifications
Salary Range: $90,000.00 to $165,000.00 annually bonus benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20 weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site .
At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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Job: Data Mgmt and Analytics
Primary Location: US-New York-New York
Schedule Full-time
Req ID: 24017377
American Express
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